Описание
adjoe builds technologies for mobile app growth and monetization. Its Playtime Arcade and adjoe Ads products cover rewarded engagement and programmatic in-app advertising, connecting advertisers, publishers, and users.
Задачи
- Translate state-of-the-art research into robust, production-ready code optimized for sub-millisecond latency
- Architect auction mechanics, real-time bidding engines, and allocation algorithms
- Apply reinforcement learning, objective-based optimization, and control theory to bidding, pricing strategy, and budget pacing
- Handle large-scale Bayesian inference and sparse, high-dimensional advertising data
- Architect scalable data pipelines that feed real-time optimization models
- Lead architectural debates and map business goals to mathematical objective functions with Product Managers and Engineers
- Mentor junior scientists and drive the team’s research direction
Требования
- PhD in Computer Science, Statistics, Mathematics, or Physics, or an MSc with extensive industry research
- Peer-reviewed publications in Computational Advertising, Auction Theory, Mechanism Design, or Game Theory
- 4+ Years optimizing complex systems through automated algorithms in AdTech, marketplaces, or high-frequency trading
- Deep theoretical and practical expertise in objective-based optimization, control theory, or reinforcement learning applied to bidding, pricing strategy, and budget pacing
- Strong proficiency in Python and related stacks
- **Nice to have:** None
Условия
Relocation support to Hamburg, Germany is available
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